code: def _score(self, hypothesis_str, reference_list):
      self.lock.acquire()
      # SCORE ||| reference 1 words ||| reference n words ||| hypothesis words
      hypothesis_str = hypothesis_str.replace("|||", "").replace(
          "  ", " "
      )
      score_line = " ||| ".join(
          ("SCORE", " ||| ".join(reference_list), hypothesis_str)
      )
      self.meteor_p.stdin.write("{}\n".format(score_line))
      stats = self.meteor_p.stdout.readline().strip()
      eval_line = "EVAL ||| {}".format(stats)
      # EVAL ||| stats
      self.meteor_p.stdin.write("{}\n".format(eval_line))
      score = float(self.meteor_p.stdout.readline().strip())
      # bug fix: there are two values returned by the jar file, one average, and one all, \
      #   so do it twice
      # thanks for Andrej for pointing this out
      score = float(self.meteor_p.stdout.readline().strip())
      self.lock.release()
      return score
  
file_path: graph4nlp/graph4nlp/pytorch/modules/evaluation/meteor_tool/meteor.py
imports: import os
  import subprocess
  import threading
label_desc: Use image node_id 5 for calling the Meteor obj's underlying member method code with example usage: obj._score(hypothesis_str, reference_list) and returns: score